أنشئ سير عمل ذكية قائمة على وكلاء الذكاء الاصطناعي (Agentic Workflows)، وخطوط معالجة التوليد المعزّز بالاسترجاع (RAG)، مع دعم واسع لنماذج الذكاء الاصطناعي والأدوات المختلفة، ضمن مساحة عمل تعاونية موحّدة.انشر مشاريعك على السحابة، أو ضمن سحابة افتراضية خاصة (VPC)، أو على خوادمك الخاصة، بما يمكّن الفرق من الانتقال من النماذج الأولية إلى التشغيل الفعلي دون الحاجة إلى إعادة بناء البنية التقنية.
**1. Workflow**:
Build and test powerful AI workflows on a visual canvas, leveraging all the following features and beyond.**2. Comprehensive model support**:
Seamless integration with hundreds of proprietary / open-source LLMs from dozens of inference providers and self-hosted solutions, covering GPT, Mistral, Llama3, and any OpenAI API-compatible models. A full list of supported model providers can be found here.providers-v5**3. Prompt IDE**:
Intuitive interface for crafting prompts, comparing model performance, and adding additional features such as text-to-speech to a chat-based app.**4. RAG Pipeline**:
Extensive RAG capabilities that cover everything from document ingestion to retrieval, with out-of-box support for text extraction from PDFs, PPTs, and other common document formats.**5. Agent**: Autonomous agents with a sandbox of their own: they run commands, install softw
التثبيت من المصدر
> Before installing Dify, make sure your machine meets the following minimum system requirements:
>
> - CPU >= 2 Core
> - RAM >= 4 GiBThe easiest way to start the Dify server is through Docker Compose. Before running Dify with the following commands, make sure that Docker and Docker Compose v2.24.0 or later are installed on your machine:cd dify
cd docker
cp .env.example .env
docker compose up -dAfter running, you can access the Dify dashboard in your browser at http://localhost/install and start the initialization process.
اعتبارات الأمان
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AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents
Claude Code is an agentic coding tool that lives in your terminal, understands your codebase, and helps you code faster by executing routine tasks, explaining complex code, and handling git workflows - all through natural language commands.
A curated collection of 1000+ agent skills from official dev teams and the community, compatible with Claude Code, Codex, Gemini CLI, Cursor, and more.
